Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	1241
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	174.6 KiB
Average record size in memory	144.1 B

Variable types

Categorical	4
Numeric	14

Alerts

`Village` has a high cardinality: 1210 distinct values	High cardinality
`pH` is highly correlated with `WQI`	High correlation
`EC` is highly correlated with `TDS` and 10 other fields	High correlation
`TDS` is highly correlated with `EC` and 10 other fields	High correlation
`TH` is highly correlated with `EC` and 10 other fields	High correlation
`Alkalinity` is highly correlated with `EC` and 8 other fields	High correlation
`Calcium` is highly correlated with `EC` and 6 other fields	High correlation
`Magnesium` is highly correlated with `EC` and 9 other fields	High correlation
`Sodium` is highly correlated with `EC` and 9 other fields	High correlation
`Bicarbonate` is highly correlated with `EC` and 8 other fields	High correlation
`Chloride` is highly correlated with `EC` and 7 other fields	High correlation
`Sulphate` is highly correlated with `EC` and 8 other fields	High correlation
`Fluoride` is highly correlated with `WQI`	High correlation
`is_drinkable` is highly correlated with `EC` and 9 other fields	High correlation
`WQI` is highly correlated with `pH` and 10 other fields	High correlation
`EC` is highly correlated with `TDS` and 10 other fields	High correlation
`TDS` is highly correlated with `EC` and 10 other fields	High correlation
`TH` is highly correlated with `EC` and 8 other fields	High correlation
`Alkalinity` is highly correlated with `EC` and 7 other fields	High correlation
`Calcium` is highly correlated with `EC` and 3 other fields	High correlation
`Magnesium` is highly correlated with `EC` and 5 other fields	High correlation
`Sodium` is highly correlated with `EC` and 5 other fields	High correlation
`Potassium` is highly correlated with `WQI`	High correlation
`Bicarbonate` is highly correlated with `EC` and 7 other fields	High correlation
`Chloride` is highly correlated with `EC` and 6 other fields	High correlation
`Sulphate` is highly correlated with `EC` and 4 other fields	High correlation
`Fluoride` is highly correlated with `WQI`	High correlation
`is_drinkable` is highly correlated with `EC` and 5 other fields	High correlation
`WQI` is highly correlated with `EC` and 6 other fields	High correlation
`EC` is highly correlated with `TDS` and 10 other fields	High correlation
`TDS` is highly correlated with `EC` and 10 other fields	High correlation
`TH` is highly correlated with `EC` and 7 other fields	High correlation
`Alkalinity` is highly correlated with `EC` and 6 other fields	High correlation
`Calcium` is highly correlated with `EC` and 2 other fields	High correlation
`Magnesium` is highly correlated with `EC` and 5 other fields	High correlation
`Sodium` is highly correlated with `EC` and 3 other fields	High correlation
`Bicarbonate` is highly correlated with `EC` and 5 other fields	High correlation
`Chloride` is highly correlated with `EC` and 4 other fields	High correlation
`Sulphate` is highly correlated with `EC` and 2 other fields	High correlation
`Fluoride` is highly correlated with `WQI`	High correlation
`is_drinkable` is highly correlated with `EC` and 7 other fields	High correlation
`WQI` is highly correlated with `EC` and 4 other fields	High correlation
`is_drinkable` is highly correlated with `WQC`	High correlation
`WQC` is highly correlated with `is_drinkable`	High correlation
`District` is highly correlated with `pH` and 3 other fields	High correlation
`pH` is highly correlated with `District`	High correlation
`EC` is highly correlated with `TDS` and 12 other fields	High correlation
`TDS` is highly correlated with `EC` and 12 other fields	High correlation
`TH` is highly correlated with `EC` and 8 other fields	High correlation
`Alkalinity` is highly correlated with `District` and 11 other fields	High correlation
`Calcium` is highly correlated with `EC` and 4 other fields	High correlation
`Magnesium` is highly correlated with `EC` and 9 other fields	High correlation
`Sodium` is highly correlated with `EC` and 7 other fields	High correlation
`Potassium` is highly correlated with `EC` and 5 other fields	High correlation
`Bicarbonate` is highly correlated with `District` and 11 other fields	High correlation
`Chloride` is highly correlated with `EC` and 7 other fields	High correlation
`Sulphate` is highly correlated with `EC` and 4 other fields	High correlation
`Fluoride` is highly correlated with `Alkalinity` and 4 other fields	High correlation
`is_drinkable` is highly correlated with `EC` and 9 other fields	High correlation
`WQI` is highly correlated with `EC` and 10 other fields	High correlation
`WQC` is highly correlated with `District` and 9 other fields	High correlation
`Village` is uniformly distributed	Uniform
`WQI` has unique values	Unique
`Sulphate` has 82 (6.6%) zeros	Zeros

Reproduction

Analysis started	2022-07-24 13:23:20.408365
Analysis finished	2022-07-24 13:24:24.568987
Duration	1 minute and 4.16 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

District
Categorical

HIGH CORRELATION

Distinct	30
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	9.8 KiB

Ganjam	81
Sambalpur	79
Mayurbhanj	75
Sundargarh	68
Bargarh	68
Other values (25)	870

Length

Max length	13
Median length	10
Mean length	7.707493956
Min length	4

Characters and Unicode

Total characters	9565
Distinct characters	32
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Angul
2nd row	Angul
3rd row	Angul
4th row	Angul
5th row	Angul

Common Values

Value	Count	Frequency (%)
Ganjam	81	6.5%
Sambalpur	79	6.4%
Mayurbhanj	75	6.0%
Sundargarh	68	5.5%
Bargarh	68	5.5%
Kendujhar	64	5.2%
Puri	62	5.0%
Koraput	62	5.0%
Cuttack	60	4.8%
Khordha	60	4.8%
Other values (20)	562	45.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ganjam	81	6.5%
sambalpur	79	6.4%
mayurbhanj	75	6.0%
sundargarh	68	5.5%
bargarh	68	5.5%
kendujhar	64	5.2%
puri	62	5.0%
koraput	62	5.0%
cuttack	60	4.8%
khordha	60	4.8%
Other values (20)	562	45.3%

Most occurring characters

Value	Count	Frequency (%)
a	2030	21.2%
r	1022	10.7%
u	731	7.6%
h	617	6.5%
n	617	6.5%
d	396	4.1%
g	368	3.8%
p	332	3.5%
l	299	3.1%
j	280	2.9%
Other values (22)	2873	30.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8324	87.0%
Uppercase Letter	1241	13.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2030	24.4%
r	1022	12.3%
u	731	8.8%
h	617	7.4%
n	617	7.4%
d	396	4.8%
g	368	4.4%
p	332	4.0%
l	299	3.6%
j	280	3.4%
Other values (10)	1632	19.6%

Uppercase Letter

Value	Count	Frequency (%)
K	259	20.9%
B	204	16.4%
S	199	16.0%
G	113	9.1%
M	96	7.7%
N	93	7.5%
P	62	5.0%
C	60	4.8%
J	49	3.9%
A	45	3.6%
Other values (2)	61	4.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9565	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2030	21.2%
r	1022	10.7%
u	731	7.6%
h	617	6.5%
n	617	6.5%
d	396	4.1%
g	368	3.8%
p	332	3.5%
l	299	3.1%
j	280	2.9%
Other values (22)	2873	30.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9565	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2030	21.2%
r	1022	10.7%
u	731	7.6%
h	617	6.5%
n	617	6.5%
d	396	4.1%
g	368	3.8%
p	332	3.5%
l	299	3.1%
j	280	2.9%
Other values (22)	2873	30.0%

Village
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1210
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Memory size	9.8 KiB

Nuagaon	4
Jagannathpur	3
Kharmanda	3
Sakhigopal	2
Gosala	2
Other values (1205)	1227

Length

Max length	28
Median length	23
Mean length	9.185334408
Min length	3

Characters and Unicode

Total characters	11399
Distinct characters	64
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1183 ?
Unique (%)	95.3%

Sample

1st row	Chauliakata
2nd row	Godibandha
3rd row	Samal
4th row	Sipur
5th row	Khamar-1

Common Values

Value	Count	Frequency (%)
Nuagaon	4	0.3%
Jagannathpur	3	0.2%
Kharmanda	3	0.2%
Sakhigopal	2	0.2%
Gosala	2	0.2%
Sikharpur	2	0.2%
Indupur	2	0.2%
Choudwar	2	0.2%
Harbhanga	2	0.2%
Usbelika	2	0.2%
Other values (1200)	1217	98.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1	30	2.1%
nagar	9	0.6%
chhak	7	0.5%
2	6	0.4%
nuagaon	5	0.3%
bazar	5	0.3%
road	4	0.3%
chawk	3	0.2%
kharmanda	3	0.2%
temple	3	0.2%
Other values (1309)	1358	94.8%

Most occurring characters

Value	Count	Frequency (%)
a	2452	21.5%
i	813	7.1%
r	745	6.5%
u	678	5.9%
n	642	5.6%
h	549	4.8%
d	493	4.3%
l	449	3.9%
p	410	3.6%
g	325	2.9%
Other values (54)	3843	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9418	82.6%
Uppercase Letter	1400	12.3%
Decimal Number	229	2.0%
Space Separator	190	1.7%
Dash Punctuation	113	1.0%
Other Punctuation	15	0.1%
Close Punctuation	15	0.1%
Open Punctuation	15	0.1%
Control	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2452	26.0%
i	813	8.6%
r	745	7.9%
u	678	7.2%
n	642	6.8%
h	549	5.8%
d	493	5.2%
l	449	4.8%
p	410	4.4%
g	325	3.5%
Other values (16)	1862	19.8%

Uppercase Letter

Value	Count	Frequency (%)
B	242	17.3%
K	170	12.1%
S	133	9.5%
R	96	6.9%
G	86	6.1%
D	86	6.1%
P	84	6.0%
J	77	5.5%
M	73	5.2%
C	68	4.9%
Other values (12)	285	20.4%

Decimal Number

Value	Count	Frequency (%)
1	84	36.7%
2	37	16.2%
3	27	11.8%
0	18	7.9%
4	17	7.4%
7	11	4.8%
5	11	4.8%
9	10	4.4%
8	7	3.1%
6	7	3.1%

Space Separator

Value	Count	Frequency (%)
	190	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	113	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	15	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	15	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	15	100.0%

Control

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10818	94.9%
Common	581	5.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2452	22.7%
i	813	7.5%
r	745	6.9%
u	678	6.3%
n	642	5.9%
h	549	5.1%
d	493	4.6%
l	449	4.2%
p	410	3.8%
g	325	3.0%
Other values (38)	3262	30.2%

Common

Value	Count	Frequency (%)
	190	32.7%
-	113	19.4%
1	84	14.5%
2	37	6.4%
3	27	4.6%
0	18	3.1%
4	17	2.9%
.	15	2.6%
)	15	2.6%
(	15	2.6%
Other values (6)	50	8.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11399	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2452	21.5%
i	813	7.1%
r	745	6.5%
u	678	5.9%
n	642	5.6%
h	549	4.8%
d	493	4.3%
l	449	3.9%
p	410	3.6%
g	325	2.9%
Other values (54)	3843	33.7%

pH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	185
Distinct (%)	14.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.828622079

Minimum	6.46
Maximum	8.78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	6.46
5-th percentile	7.07
Q1	7.58
median	7.9
Q3	8.12
95-th percentile	8.35
Maximum	8.78
Range	2.32
Interquartile range (IQR)	0.54

Descriptive statistics

Standard deviation	0.3996080174
Coefficient of variation (CV)	0.05104448948
Kurtosis	-0.1158318734
Mean	7.828622079
Median Absolute Deviation (MAD)	0.26
Skewness	-0.6268527131
Sum	9715.32
Variance	0.1596865675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.3	45	3.6%
7.9	20	1.6%
8.2	20	1.6%
8.02	19	1.5%
8.1	19	1.5%
8.08	19	1.5%
8	18	1.5%
7.94	18	1.5%
7.98	17	1.4%
7.88	16	1.3%
Other values (175)	1030	83.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.46	1	0.1%
6.5	1	0.1%
6.54	1	0.1%
6.6	1	0.1%
6.64	1	0.1%
6.71	1	0.1%
6.73	1	0.1%
6.75	1	0.1%
6.77	2	0.2%
6.81	1	0.1%

Value	Count	Frequency (%)
8.78	1	0.1%
8.63	1	0.1%
8.62	1	0.1%
8.61	1	0.1%
8.6	1	0.1%
8.59	2	0.2%
8.58	1	0.1%
8.56	2	0.2%
8.55	1	0.1%
8.54	1	0.1%

EC
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	249
Distinct (%)	20.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	695.4392828

Minimum	7.15
Maximum	5770
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	7.15
5-th percentile	150
Q1	360
median	550
Q3	900
95-th percentile	1610
Maximum	5770
Range	5762.85
Interquartile range (IQR)	540

Descriptive statistics

Standard deviation	536.8190624
Coefficient of variation (CV)	0.7719136317
Kurtosis	13.86554926
Mean	695.4392828
Median Absolute Deviation (MAD)	250
Skewness	2.740791102
Sum	863040.15
Variance	288174.7058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
440	25	2.0%
500	23	1.9%
400	20	1.6%
650	20	1.6%
290	19	1.5%
430	19	1.5%
460	18	1.5%
340	18	1.5%
450	18	1.5%
470	18	1.5%
Other values (239)	1043	84.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7.15	1	0.1%
55	1	0.1%
60	4	0.3%
70	1	0.1%
75	2	0.2%
80	3	0.2%
87	1	0.1%
90	4	0.3%
100	10	0.8%
105	1	0.1%

Value	Count	Frequency (%)
5770	1	0.1%
4450	1	0.1%
4420	1	0.1%
3740	1	0.1%
3720	1	0.1%
3470	1	0.1%
3310	1	0.1%
3140	1	0.1%
3050	1	0.1%
3030	1	0.1%

TDS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	601
Distinct (%)	48.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	358.0572119

Minimum	30
Maximum	2766
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	30
5-th percentile	82
Q1	186
median	277
Q3	456
95-th percentile	843
Maximum	2766
Range	2736
Interquartile range (IQR)	270

Descriptive statistics

Standard deviation	280.9793428
Coefficient of variation (CV)	0.7847330914
Kurtosis	13.07617928
Mean	358.0572119
Median Absolute Deviation (MAD)	123
Skewness	2.742833455
Sum	444349
Variance	78949.39108
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
236	7	0.6%
99	7	0.6%
207	7	0.6%
223	7	0.6%
200	7	0.6%
204	7	0.6%
262	6	0.5%
183	6	0.5%
267	6	0.5%
227	6	0.5%
Other values (591)	1175	94.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	0.1%
35	1	0.1%
36	1	0.1%
40	1	0.1%
41	1	0.1%
42	1	0.1%
43	2	0.2%
45	2	0.2%
46	2	0.2%
47	2	0.2%

Value	Count	Frequency (%)
2766	1	0.1%
2560	1	0.1%
2335	1	0.1%
1914	1	0.1%
1872	1	0.1%
1858	1	0.1%
1769	1	0.1%
1682	1	0.1%
1606	1	0.1%
1586	1	0.1%

TH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	379
Distinct (%)	30.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	215.0153102

Minimum	20
Maximum	1945
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	20
5-th percentile	53
Q1	123
median	184
Q3	267
95-th percentile	466
Maximum	1945
Range	1925
Interquartile range (IQR)	144

Descriptive statistics

Standard deviation	156.7872729
Coefficient of variation (CV)	0.729191204
Kurtosis	30.89449597
Mean	215.0153102
Median Absolute Deviation (MAD)	68
Skewness	3.965647141
Sum	266834
Variance	24582.24896
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
158	15	1.2%
198	14	1.1%
163	13	1.0%
157	12	1.0%
54	12	1.0%
50	12	1.0%
177	12	1.0%
59	12	1.0%
223	11	0.9%
124	10	0.8%
Other values (369)	1118	90.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	2	0.2%
24	1	0.1%
25	3	0.2%
26	1	0.1%
29	2	0.2%
30	3	0.2%
33	1	0.1%
35	5	0.4%
37	1	0.1%
38	1	0.1%

Value	Count	Frequency (%)
1945	1	0.1%
1723	1	0.1%
1665	1	0.1%
1546	1	0.1%
1262	1	0.1%
1106	1	0.1%
914	1	0.1%
900	1	0.1%
770	1	0.1%
736	1	0.1%

Alkalinity
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	337
Distinct (%)	27.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	178.4963739

Minimum	15
Maximum	765
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	15
5-th percentile	44
Q1	105
median	158
Q3	228
95-th percentile	377
Maximum	765
Range	750
Interquartile range (IQR)	123

Descriptive statistics

Standard deviation	104.9320142
Coefficient of variation (CV)	0.5878663635
Kurtosis	3.034851964
Mean	178.4963739
Median Absolute Deviation (MAD)	59
Skewness	1.339800088
Sum	221514
Variance	11010.72761
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
185	15	1.2%
129	14	1.1%
50	13	1.0%
195	13	1.0%
119	13	1.0%
157	12	1.0%
153	12	1.0%
134	12	1.0%
105	12	1.0%
55	11	0.9%
Other values (327)	1114	89.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	0.1%
20	3	0.2%
21	1	0.1%
24	1	0.1%
25	7	0.6%
26	1	0.1%
29	2	0.2%
30	5	0.4%
33	3	0.2%
34	2	0.2%

Value	Count	Frequency (%)
765	1	0.1%
750	1	0.1%
695	1	0.1%
653	1	0.1%
644	1	0.1%
610	1	0.1%
604	1	0.1%
599	1	0.1%
590	1	0.1%
556	1	0.1%

Calcium
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	125
Distinct (%)	10.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.94198227

Minimum	0
Maximum	497
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	0
5-th percentile	12
Q1	26
median	39
Q3	53
95-th percentile	94
Maximum	497
Range	497
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	30.61219216
Coefficient of variation (CV)	0.6966502323
Kurtosis	45.84042566
Mean	43.94198227
Median Absolute Deviation (MAD)	13
Skewness	4.465762074
Sum	54532
Variance	937.1063086
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	49	3.9%
20	44	3.5%
44	38	3.1%
22	38	3.1%
36	37	3.0%
42	37	3.0%
38	35	2.8%
30	35	2.8%
48	33	2.7%
24	32	2.6%
Other values (115)	863	69.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
2	1	0.1%
4	2	0.2%
6	9	0.7%
8	14	1.1%
10	30	2.4%
12	24	1.9%
13	3	0.2%
14	23	1.9%
15	2	0.2%

Value	Count	Frequency (%)
497	1	0.1%
276	1	0.1%
253	1	0.1%
234	1	0.1%
206	1	0.1%
192	1	0.1%
181	1	0.1%
178	1	0.1%
173	1	0.1%
170	1	0.1%

Magnesium
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	106
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.61724416

Minimum	-4
Maximum	345
Zeros	5
Zeros (%)	0.4%
Negative	1
Negative (%)	0.1%
Memory size	9.8 KiB

Quantile statistics

Minimum	-4
5-th percentile	4
Q1	10
median	19
Q3	34
95-th percentile	67
Maximum	345
Range	349
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	25.83513473
Coefficient of variation (CV)	1.008505621
Kurtosis	37.75728504
Mean	25.61724416
Median Absolute Deviation (MAD)	10
Skewness	4.455767424
Sum	31791
Variance	667.4541863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	55	4.4%
13	49	3.9%
12	44	3.5%
10	42	3.4%
17	41	3.3%
4	38	3.1%
9	37	3.0%
7	37	3.0%
16	35	2.8%
5	34	2.7%
Other values (96)	829	66.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-4	1	0.1%
0	5	0.4%
1	20	1.6%
2	19	1.5%
3	8	0.6%
4	38	3.1%
5	34	2.7%
6	55	4.4%
7	37	3.0%
8	30	2.4%

Value	Count	Frequency (%)
345	1	0.1%
300	1	0.1%
254	1	0.1%
210	1	0.1%
171	1	0.1%
160	1	0.1%
154	1	0.1%
151	1	0.1%
134	1	0.1%
123	1	0.1%

Sodium
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	192
Distinct (%)	15.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.99194198

Minimum	0
Maximum	820
Zeros	7
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	17
median	30
Q3	65
95-th percentile	155
Maximum	820
Range	820
Interquartile range (IQR)	48

Descriptive statistics

Standard deviation	61.03354392
Coefficient of variation (CV)	1.220867634
Kurtosis	30.73986706
Mean	49.99194198
Median Absolute Deviation (MAD)	18
Skewness	4.14940391
Sum	62040
Variance	3725.093483
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	65	5.2%
1	30	2.4%
16	28	2.3%
18	28	2.3%
15	27	2.2%
21	26	2.1%
9	25	2.0%
31	24	1.9%
17	24	1.9%
19	23	1.9%
Other values (182)	941	75.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	7	0.6%
1	30	2.4%
2	18	1.5%
3	17	1.4%
4	15	1.2%
5	17	1.4%
6	8	0.6%
7	8	0.6%
8	13	1.0%
9	25	2.0%

Value	Count	Frequency (%)
820	1	0.1%
505	1	0.1%
474	1	0.1%
470	1	0.1%
423	1	0.1%
403	1	0.1%
400	1	0.1%
341	1	0.1%
321	1	0.1%
312	2	0.2%

Potassium
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	321
Distinct (%)	25.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.16253022

Minimum	0
Maximum	332
Zeros	5
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.5
Q1	1.6
median	3.8
Q3	10.1
95-th percentile	58
Maximum	332
Range	332
Interquartile range (IQR)	8.5

Descriptive statistics

Standard deviation	29.67099414
Coefficient of variation (CV)	2.254201407
Kurtosis	32.15284121
Mean	13.16253022
Median Absolute Deviation (MAD)	2.7
Skewness	5.043696058
Sum	16334.7
Variance	880.3678933
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	39	3.1%
2	28	2.3%
1.8	28	2.3%
3	27	2.2%
1.1	27	2.2%
0.8	26	2.1%
0.1	24	1.9%
0.7	24	1.9%
1.2	23	1.9%
1.4	21	1.7%
Other values (311)	974	78.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.4%
0.1	24	1.9%
0.2	7	0.6%
0.3	8	0.6%
0.4	12	1.0%
0.5	14	1.1%
0.6	12	1.0%
0.7	24	1.9%
0.8	26	2.1%
0.9	21	1.7%

Value	Count	Frequency (%)
332	1	0.1%
256	2	0.2%
232.1	1	0.1%
229	1	0.1%
207.2	1	0.1%
206.8	1	0.1%
196	1	0.1%
180.6	1	0.1%
180.3	1	0.1%
178.6	1	0.1%

Bicarbonate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	380
Distinct (%)	30.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	215.7993554

Minimum	18
Maximum	933
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	18
5-th percentile	55
Q1	128
median	192
Q3	275
95-th percentile	455
Maximum	933
Range	915
Interquartile range (IQR)	147

Descriptive statistics

Standard deviation	126.5073791
Coefficient of variation (CV)	0.5862268629
Kurtosis	3.12407848
Mean	215.7993554
Median Absolute Deviation (MAD)	71
Skewness	1.352002421
Sum	267807
Variance	16004.11697
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
187	13	1.0%
223	13	1.0%
238	12	1.0%
128	12	1.0%
134	12	1.0%
154	12	1.0%
226	11	0.9%
61	11	0.9%
67	11	0.9%
146	11	0.9%
Other values (370)	1123	90.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1	0.1%
24	3	0.2%
25	1	0.1%
29	1	0.1%
30	4	0.3%
31	3	0.2%
32	1	0.1%
35	2	0.2%
36	3	0.2%
37	1	0.1%

Value	Count	Frequency (%)
933	1	0.1%
915	1	0.1%
848	1	0.1%
797	1	0.1%
770	1	0.1%
744	1	0.1%
737	1	0.1%
720	1	0.1%
670	1	0.1%
665	1	0.1%

Chloride
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	279
Distinct (%)	22.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	92.17002417

Minimum	0
Maximum	1753
Zeros	2
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	26
median	55
Q3	110
95-th percentile	291
Maximum	1753
Range	1753
Interquartile range (IQR)	84

Descriptive statistics

Standard deviation	127.1443335
Coefficient of variation (CV)	1.379454271
Kurtosis	48.13562126
Mean	92.17002417
Median Absolute Deviation (MAD)	33
Skewness	5.49142232
Sum	114383
Variance	16165.68155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26	32	2.6%
17	28	2.3%
24	27	2.2%
7	26	2.1%
10	25	2.0%
43	24	1.9%
19	23	1.9%
55	23	1.9%
36	21	1.7%
29	20	1.6%
Other values (269)	992	79.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.2%
2	5	0.4%
3	2	0.2%
5	12	1.0%
7	26	2.1%
8	4	0.3%
10	25	2.0%
11	1	0.1%
12	20	1.6%
13	5	0.4%

Value	Count	Frequency (%)
1753	1	0.1%
1410	1	0.1%
1314	1	0.1%
1065	1	0.1%
986	1	0.1%
985	1	0.1%
758	1	0.1%
754	1	0.1%
736	1	0.1%
707	1	0.1%

Sulphate
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	115
Distinct (%)	9.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.22320709

Minimum	-3
Maximum	434
Zeros	82
Zeros (%)	6.6%
Negative	1
Negative (%)	0.1%
Memory size	9.8 KiB

Quantile statistics

Minimum	-3
5-th percentile	0
Q1	4
median	17
Q3	38
95-th percentile	82
Maximum	434
Range	437
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	30.66201248
Coefficient of variation (CV)	1.169270119
Kurtosis	29.43368742
Mean	26.22320709
Median Absolute Deviation (MAD)	14
Skewness	3.466286451
Sum	32543
Variance	940.1590094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	82	6.6%
1	78	6.3%
3	58	4.7%
4	51	4.1%
2	44	3.5%
5	43	3.5%
11	29	2.3%
9	29	2.3%
10	26	2.1%
18	25	2.0%
Other values (105)	776	62.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3	1	0.1%
0	82	6.6%
1	78	6.3%
2	44	3.5%
3	58	4.7%
4	51	4.1%
5	43	3.5%
6	23	1.9%
7	25	2.0%
8	21	1.7%

Value	Count	Frequency (%)
434	1	0.1%
250	1	0.1%
210	1	0.1%
186	1	0.1%
160	1	0.1%
152	1	0.1%
145	1	0.1%
142	3	0.2%
138	1	0.1%
135	1	0.1%

Fluoride
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	154
Distinct (%)	12.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3985173247

Minimum	0.02
Maximum	3.94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	0.02
5-th percentile	0.07
Q1	0.16
median	0.27
Q3	0.47
95-th percentile	1.2
Maximum	3.94
Range	3.92
Interquartile range (IQR)	0.31

Descriptive statistics

Standard deviation	0.419843934
Coefficient of variation (CV)	1.053514886
Kurtosis	16.8172457
Mean	0.3985173247
Median Absolute Deviation (MAD)	0.13
Skewness	3.372375932
Sum	494.56
Variance	0.1762689289
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.11	42	3.4%
0.18	35	2.8%
0.13	35	2.8%
0.29	35	2.8%
0.16	34	2.7%
0.21	34	2.7%
0.14	32	2.6%
0.12	32	2.6%
0.17	31	2.5%
0.19	31	2.5%
Other values (144)	900	72.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.02	1	0.1%
0.03	3	0.2%
0.04	11	0.9%
0.05	9	0.7%
0.06	21	1.7%
0.07	20	1.6%
0.08	16	1.3%
0.09	23	1.9%
0.1	28	2.3%
0.11	42	3.4%

Value	Count	Frequency (%)
3.94	1	0.1%
3.6	1	0.1%
3.54	1	0.1%
3.32	1	0.1%
3.1	1	0.1%
3.08	1	0.1%
2.91	1	0.1%
2.5	1	0.1%
2.49	1	0.1%
2.41	1	0.1%

is_drinkable
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	9.8 KiB

1	656
0	585

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1241
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	656	52.9%
0	585	47.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	656	52.9%
0	585	47.1%

Most occurring characters

Value	Count	Frequency (%)
1	656	52.9%
0	585	47.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1241	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	656	52.9%
0	585	47.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1241	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	656	52.9%
0	585	47.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1241	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	656	52.9%
0	585	47.1%

WQI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	1241
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.52514704

Minimum	2.92080857
Maximum	271.4228748
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.8 KiB

Quantile statistics

Minimum	2.92080857
5-th percentile	10.69497045
Q1	20.47250591
median	30.77209109
Q3	47.56704838
95-th percentile	96.1546608
Maximum	271.4228748
Range	268.5020663
Interquartile range (IQR)	27.09454248

Descriptive statistics

Standard deviation	30.85646353
Coefficient of variation (CV)	0.780679285
Kurtosis	10.00919359
Mean	39.52514704
Median Absolute Deviation (MAD)	11.86706255
Skewness	2.637476657
Sum	49050.70747
Variance	952.1213414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19.03235114	1	0.1%
23.94772587	1	0.1%
14.74641444	1	0.1%
14.93827374	1	0.1%
17.39788878	1	0.1%
25.75117264	1	0.1%
29.4523277	1	0.1%
16.68437973	1	0.1%
26.14416028	1	0.1%
29.9555589	1	0.1%
Other values (1231)	1231	99.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.92080857	1	0.1%
4.741497468	1	0.1%
4.788191687	1	0.1%
5.125883257	1	0.1%
5.464181808	1	0.1%
5.590406731	1	0.1%
5.907261341	1	0.1%
5.911321231	1	0.1%
5.955143778	1	0.1%
5.963774771	1	0.1%

Value	Count	Frequency (%)
271.4228748	1	0.1%
225.7888095	1	0.1%
222.6577585	1	0.1%
215.1332868	1	0.1%
205.0670827	1	0.1%
204.8788207	1	0.1%
203.5143277	1	0.1%
191.1416121	1	0.1%
183.8170026	1	0.1%
183.0700216	1	0.1%

WQC
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	9.8 KiB

Good	513
Excellent	436
Poor	173
Very Poor	119

Length

Max length	9
Median length	4
Mean length	6.236099919
Min length	4

Characters and Unicode

Total characters	7739
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Excellent
2nd row	Excellent
3rd row	Very Poor
4th row	Good
5th row	Excellent

Common Values

Value	Count	Frequency (%)
Good	513	41.3%
Excellent	436	35.1%
Poor	173	13.9%
Very Poor	119	9.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
good	513	37.7%
excellent	436	32.1%
poor	292	21.5%
very	119	8.8%

Most occurring characters

Value	Count	Frequency (%)
o	1610	20.8%
e	991	12.8%
l	872	11.3%
G	513	6.6%
d	513	6.6%
E	436	5.6%
x	436	5.6%
c	436	5.6%
n	436	5.6%
t	436	5.6%
Other values (5)	1060	13.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6260	80.9%
Uppercase Letter	1360	17.6%
Space Separator	119	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	1610	25.7%
e	991	15.8%
l	872	13.9%
d	513	8.2%
x	436	7.0%
c	436	7.0%
n	436	7.0%
t	436	7.0%
r	411	6.6%
y	119	1.9%

Uppercase Letter

Value	Count	Frequency (%)
G	513	37.7%
E	436	32.1%
P	292	21.5%
V	119	8.8%

Space Separator

Value	Count	Frequency (%)
	119	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7620	98.5%
Common	119	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	1610	21.1%
e	991	13.0%
l	872	11.4%
G	513	6.7%
d	513	6.7%
E	436	5.7%
x	436	5.7%
c	436	5.7%
n	436	5.7%
t	436	5.7%
Other values (4)	941	12.3%

Common

Value	Count	Frequency (%)
	119	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7739	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	1610	20.8%
e	991	12.8%
l	872	11.3%
G	513	6.6%
d	513	6.6%
E	436	5.6%
x	436	5.6%
c	436	5.6%
n	436	5.6%
t	436	5.6%
Other values (5)	1060	13.7%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	District	Village	pH	EC	TDS	TH	Alkalinity	Calcium	Magnesium	Sodium	Potassium	Bicarbonate	Chloride	Sulphate	Fluoride	is_drinkable	WQI	WQC
0	Angul	Chauliakata	7.22	210.0	105	85	60	22	7	5	4.2	73	21	10	0.27	1	19.032351	Excellent
1	Angul	Godibandha	7.54	310.0	157	100	85	20	12	21	4.8	104	43	5	0.12	1	15.589984	Excellent
2	Angul	Samal	8.08	580.0	282	125	200	20	18	72	3.5	244	21	28	1.52	0	86.264578	Very Poor
3	Angul	Sipur	8.25	390.0	191	150	145	34	16	16	5.7	177	30	3	0.31	1	31.931635	Good
4	Angul	Khamar-1	7.64	460.0	234	165	125	42	15	26	5.0	153	71	0	0.15	1	18.932642	Excellent
5	Angul	Srirampur	7.88	390.0	196	160	105	36	17	15	1.2	128	60	4	0.27	1	23.675539	Excellent
6	Angul	Pallahara	7.99	480.0	244	145	110	34	15	41	1.8	134	72	15	0.11	1	17.458106	Excellent
7	Angul	Jamardihi	7.62	90.0	43	40	25	10	4	1	0.7	31	10	2	0.13	1	12.470002	Excellent
8	Angul	Sendhogram	7.81	820.0	428	200	245	24	34	95	2.2	299	82	44	1.59	0	88.117828	Very Poor
9	Angul	Bhogabereni	7.42	2440.0	1292	515	425	78	78	312	20.6	519	363	186	0.94	0	74.916497	Poor

Last rows

	District	Village	pH	EC	TDS	TH	Alkalinity	Calcium	Magnesium	Sodium	Potassium	Bicarbonate	Chloride	Sulphate	Fluoride	is_drinkable	WQI	WQC
1231	Sundargarh	R-27 Sector-7	8.26	270.0	138	113	98	29	10	9	1.9	120	24	5	0.27	1	26.533711	Good
1232	Sundargarh	R-29 Sector-9	8.28	260.0	128	108	110	24	12	9	1.2	134	12	4	0.27	1	26.241266	Good
1233	Sundargarh	R-30 Sector-13	8.11	190.0	100	78	55	26	3	6	2.9	67	22	7	0.18	1	20.994659	Excellent
1234	Sundargarh	R-31 Sector-14	8.20	170.0	89	69	71	22	3	5	3.7	87	10	2	0.30	1	27.922359	Good
1235	Sundargarh	R-32 Sector-20	8.27	330.0	168	113	93	31	9	21	4.8	114	31	16	0.18	1	24.550178	Excellent
1236	Sundargarh	R-33 Sector 18	8.22	340.0	176	93	82	31	4	31	4.4	100	34	23	0.14	1	21.589240	Excellent
1237	Sundargarh	R-34 Sector-17	7.90	240.0	118	93	49	18	12	8	4.5	60	41	5	0.14	1	19.066396	Excellent
1238	Sundargarh	R-36 Sector-15	8.27	340.0	156	147	131	29	18	9	2.2	160	14	5	0.26	1	27.092631	Good
1239	Sundargarh	R-37 Vedvyas	8.26	740.0	378	270	126	77	19	44	1.5	154	156	5	0.21	0	25.709087	Good
1240	Sundargarh	R-38 Kalunga	8.24	340.0	173	152	77	51	6	6	2.4	94	53	9	0.23	1	25.023410	Good

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Dash Punctuation

Other Punctuation

Close Punctuation

Open Punctuation

Control

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows